Ml Engineer - Snowflake

Job Title : ML Engineer – Snowflake Location : Chennai / Bangalore

Budget : Open to discuss

Notice Period : Immediate joiner / Serving notice with less than 60 days / Notice is less than 60 days

We are looking for an ML Engineer with expertise in building and deploying machine learning models natively on Snowflake. You will develop end-to-end ML workflows leveraging Snowpark ML and Snowflake's model management capabilities for enterprise clients.

Technical Skills Required (6-8 of the following) :

Snowpark ML for feature engineering, model training, and inference

Snowflake Model Registry for versioning and deployment management

Snowflake Feature Store for centralized feature management

Cortex ML functions (forecasting, anomaly detection, classification)

Snowpark Python UDFs and vectorized UDFs for model serving

ML libraries : scikit-learn, XGBoost, LightGBM, PyTorch within Snowpark

MLOps practices : experiment tracking, model monitoring, A / B testing

Stored procedures for ML pipeline orchestration in Snowflake

Experience :

3+ years in ML engineering with at least 1 year deploying models on Snowflake

Delivered 2+ production ML models (forecasting, classification, or recommendation)

Clear communication skills for client interactions and technical documentation